title: An automatic bone segmentation method based on anatomical structure for the knee joint in MDCT image.
abstract: The purpose of this study is to propose an automatic segmentation about each bone (the femur, the tibia, the patellar, and fibular) of the knee in MDCT image. The proposed method was applied for six patients (Age 33 ± 13, four males/tew females). The proposed method segmented the knee joint into each bone by using anatomical structure for the knee joint. The experiments calculate matching rate of the manual and the proposed method for evaluating it. As a result, The matching rate of the femur, the tibia, the patellar, and fibula were 95.84 ± 0.57%, 94.12 ± 1.01%, 94.49 ± 0.83%, 86.37 ± 4.28%, respectively. This study concluded that the proposed method is enough to segment the knee bones.
authors.forename: Y
authors.initials: Y
authors.lastname: Uozumi
authors.forename: K
authors.initials: K
authors.lastname: Nagamune
mesh_terms: D000328:Adult; D000465:Algorithms; D005260:Female; D005269:Femur / Q000033:anatomy & histology; D005360:Fibula / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007719:Knee Joint / Q000033:anatomy & histology*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D010329:Patella / Q000033:anatomy & histology; D013977:Tibia / Q000033:anatomy & histology; D014057:Tomography, X-Ray Computed